activity
20122022
most citedQuantifying Paedophile Activity in a Large P2P System

38 citations · 47 across the 8 of their papers we have counts for

collaborators

9 papers

cs.AI2022★ 3 cited

Parameterisation of Reasoning on Temporal Markov Logic Networks

Victor David, Raphaël Fournier-S'niehotta, Nicolas Travers

We aim at improving reasoning on inconsistent and uncertain data. We focus on knowledge-graph data, extended with time intervals to specify their validity, as regularly found in hi…

cs.CV2021

Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree

Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'Niehotta +1

Web Image Context Extraction (WICE) consists in obtaining the textual information describing an image using the content of the surrounding webpage. A common preprocessing step befo…

cs.SD2021★ 1 cited

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation

Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'Niehotta

We present PKSpell: a data-driven approach for the joint estimation of pitch spelling and key signatures from MIDI files. Both elements are fundamental for the production of a full…

cs.SI2020

Testing the Impact of Semantics and Structure on Recommendation Accuracy and Diversity

Pedro Ramaciotti Morales, Lionel Tabourier, Raphaël Fournier-S'niehotta

The Heterogeneous Information Network (HIN) formalism is very flexible and enables complex recommendations models. We evaluate the effect of different parts of a HIN on the accurac…

cs.AI2020

Measuring Diversity in Heterogeneous Information Networks

Pedro Ramaciotti Morales, Robin Lamarche-Perrin, Raphael Fournier-S'niehotta +3

Diversity is a concept relevant to numerous domains of research varying from ecology, to information theory, and to economics, to cite a few. It is a notion that is steadily gainin…

cs.SI2018★ 5 cited

Movie rating prediction using content-based and link stream features

Tiphaine Viard, Raphaël Fournier-S'niehotta

While graph-based collaborative filtering recommender systems have been introduced several years ago, there are still several shortcomings to deal with, the temporal information be…

cs.DS2017

Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams

Tiphaine Viard, Raphaël Fournier-S'niehotta, Clémence Magnien +1

Studying IP traffic is crucial for many applications. We focus here on the detection of (structurally and temporally) dense sequences of interactions, that may indicate botnets or…

cs.SI2015

Analysis of the temporal and structural features of threads in a mailing-list

Noé Gaumont, Tiphaine Viard, Raphaël Fournier-S'niehotta +2

A link stream is a collection of triplets indicating that an interaction occurred between and at time . Link streams model many real-world situations like emai…

cs.CY2012★ 38 cited

Quantifying Paedophile Activity in a Large P2P System

Matthieu Latapy, Clémence Magnien, Raphaël Fournier

Increasing knowledge of paedophile activity in P2P systems is a crucial societal concern, with important consequences on child protection, policy making, and internet regulation. B…